DeepInfra vs Fireworks AI — Llama 3.3 70B
The input and output costs are both $0.59 per 1M tokens, which is mid-range for a model of this scale, while the throughput of 700 tok/s is relatively fast. The rate limits of 15,000 TPM and 60 RPM are more suited for low-volume prototyping, and the first-token latency of 270 ms does not favor real-time applications but rather batch processing scenarios.
This tier is suitable for a batch document processing workload with a small team, requiring <50k daily completions and moderate latency tolerance.
The input and output costs are $0.9 per 1M tokens, which is mid-range for this model class, while throughput at 680 tok/s is fast. The rate limits of 10,000 TPM and 60 RPM suggest suitability for low-volume prototyping, and the first-token latency of 260 ms is more favorable for batch use than real-time applications.
This tier is suitable for a batch document processing workload with a team of 3-5 engineers, targeting <50k daily completions.
Frequently Asked Questions
Is DeepInfra faster than Fireworks AI for Llama 3.3 70B?
DeepInfra delivers 700 tokens/sec at 270ms TTFT, while Fireworks AI delivers 680 tokens/sec at 260ms TTFT. DeepInfra has higher throughput; Fireworks AI has lower first-token latency.
Is DeepInfra cheaper than Fireworks AI for Llama 3.3 70B?
DeepInfra charges $0.59 input / $0.59 output per 1M tokens. Fireworks AI charges $0.9 input / $0.9 output per 1M tokens. DeepInfra is cheaper for input-heavy workloads.
What are the rate limits for DeepInfra vs Fireworks AI?
DeepInfra enforces 15,000 TPM / 60 RPM. Fireworks AI enforces 10,000 TPM / 60 RPM. Higher TPM limits allow more concurrent users before hitting API ceilings.
Does DeepInfra or Fireworks AI offer a free tier?
DeepInfra offers a free tier. Fireworks AI offers a free tier. Both are suitable for prototyping without a credit card.